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Perfusion

Background

Perfusion MRI typically refers to MRI-based measurements of microcirculatory parameters such as blood flow, blood volume and blood mean transit time. Imaging of perfusion-related parameters is of relevance in, for example, studies of dementia and trauma, assessment of the ischemic penumbra in acute ischemic stroke (in combination with diffusion MRI) to facilitate treatment decisions, investigations of intracranial vascular malformation in connection with neurointerventional procedures, preoperative classification and grading of brain tumours and monitoring of various kinds of therapy.

Specific Work

The perfusion MRI research within our group is primarily focused on development and validation of MRI pulse sequences and post-processing tools for assessment of parameters related to perfusion and oxygen extraction, including improved estimation of cerebral blood flow in absolute terms.

The most common method for brain perfusion imaging in clinical environments is dynamic susceptibility contrast MRI (DSC-MRI). This approach is based on dynamic monitoring of tracer concentration, during the first passage, in an artery (for registration of the arterial input function (AIF)) and in the tissue of interest, following rapid intravenous injection of a gadolinium contrast agent. The concept is based on the theory of intravascular tracers and provides parametric maps of regional cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT). The DSC-MRI technique can also provide information about cerebral oxygen extraction.

Perf

DSC-MRI at 7T: Parametric maps of CBF, CBV and MTT

Arterial spin labelling (ASL) is a completely non-invasive technique for CBF assessment, based on the use of magnetically labelled arterial water as an endogenous, diffusible tracer. Magnetic labelling or tagging of blood water spins is accomplished by inversion of the spin population in a tissue-feeding artery. The labelled water protons are then transported with the blood to the brain tissue, where the labelled spins change the net magnetization in proportion to the tissue blood flow.

ASL

High-quality perfusion maps at 3T acquired in less than 5 minutes using pseudo-continuous arterial spin labeling (PCASL) with segmented 3D-GRASE readout.

Another non-invasive approach to determine perfusion-related parameters, primarily the so-called perfusion fraction (related to blood volume), is intravoxel incoherent motion (IVIM) imaging, in which diffusion encoding is used to extract phase dispersion effects caused by incoherent motion of the spin population within the pseudo-randomly oriented blood capillaries of the microvasculature.

The blood supply in terms of CBF is closely related to the subsequent cerebral oxygen delivery and oxygen consumption, and a number of MRI approaches have been proposed to quantify venous oxygen saturation, oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2). MRI methods for OEF assessment include the use of DSC-MRI in combination with biophysical modelling of oxygen transport in tissue, T2/T2* measurements, phase or magnetic susceptibility maps, and spin labelling for obtaining pure venous blood signal.

Aims

  • To investigate the role of quantitative susceptibility mapping (QSM) for contrast agent quantification in perfusion imaging, including development of improved approaches for QSM referencing.
  • To develop post-processing and analysis tools for DSC-MRI data, for example, deconvolution algorithms.
  • To estimate blood oxygen saturation levels, primarily using QSM, for assessment of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2).
  • To use DSC-MRI data in combination with biophysical modelling of oxygen transport for assessment of parameters reflecting tissue oxygen extraction.
  • To implement and establish a variety of perfusion methodologies in the clinical environment.

Representative Perfusion MRI Publications 

Wirestam, R., Chakwizira, A., & Reinstrup, P. (2025). Evaluation of parameters extracted from tissue residue functions in dynamic susceptibility contrast MRI: Healthy volunteers examined during normal breathing and spontaneous hyperventilation. Heliyon, 11(4), e42521. https://doi.org/10.1016/j.heliyon.2025.e42521.

Wirestam, R., Lundberg, A., Chakwizira, A., van Westen, D., Knutsson, L., & Lind, E. (2022). Test-retest analysis of cerebral oxygen extraction estimates in healthy volunteers: comparison of methods based on quantitative susceptibility mapping and dynamic susceptibility contrast magnetic resonance imaging. Heliyon, 8(12), e12364. https://doi.org/10.1016/j.heliyon.2022.e12364.

Lundberg, A., Lind, E., Olsson, H., Helms, G., Knutsson, L., & Wirestam, R. (2022). Comparison of MRI methods for measuring whole-brain oxygen extraction fraction under different geometric conditions at 7T. Journal of neuroimaging : official journal of the American Society of Neuroimaging, 32(3), 442–458. https://doi.org/10.1111/jon.12975.

Chakwizira, A., Ahlgren, A., Knutsson, L., & Wirestam, R. (2022). Non-parametric deconvolution using Bézier curves for quantification of cerebral perfusion in dynamic susceptibility contrast MRI. Magma (New York, N.Y.), 35(5), 791–804. https://doi.org/10.1007/s10334-021-00995-0.

 

For more information about our perfusion MRI research please contact:

Ronnie Wirestam, Ph.D.
Professor of Medical Radiation Physics
Dept. of Medical Radiation Physics, Lund University, Lund, Sweden

e-mail: ronnie [dot] wirestam [at] med [dot] lu [dot] se (ronnie[dot]wirestam[at]med[dot]lu[dot]se) 

LU rsearch portal profile: Ronnie Wirestam

 

 

 

 

 

Perfusion

 

Group Leader


Ronnie Wirestam, Ph.D.

Professor

e-mail: ronnie [dot] wirestam [at] med [dot] lu [dot] se (ronnie[dot]wirestam[at]med[dot]lu[dot]se)

LU research portal profile: Ronnie Wirestam 

rw2

 

Seniors


Lnda Knutsson, Ph.D.

Professor

e-mail: linda [dot] knutsson [at] med [dot] lu [dot] se (linda[dot]knutsson[at]med[dot]lu[dot]se) 

LU research portal profile: Linda Knutsson

LK

 

Emelie Lind, Ph.D.

Medical Physicist

e-mail: emelie [dot] lind [at] med [dot] lu [dot] se (emelie[dot]lind[at]med[dot]lu[dot]se) 

LU research portal profile: Emelie Lind

EL

 

Doctoral Students


Anna Lundberg, M.Sc.

e-mail: anna [dot] lundberg [at] med [dot] lu [dot] se (anna[dot]lundberg[at]med[dot]lu[dot]se) 

LU research portal profile: Anna Lundberg

AL